Title
Evaluating compound critiquing recommenders: a real-user study
Abstract
Conversational recommender systems are designed to help users to more efficiently navigate complex product spaces by alternatively making recommendations and inviting users' feedback. Compound critiquing techniques provide an efficient way for users to feed back their preferences (in terms of several simultaneous product attributes) when interfacing with conversational recommender systems. For example, in the laptop domain a user might wish to express a preference for a laptop that is "Cheaper, Lighter, with a Larger Screen". While recently a number of techniques for dynamically generating compound critiques have been proposed, to date there has been a lack of direct comparison of these approaches in a real-user study. In this paper we will compare two alternative approaches to the dynamic generation of compound critiques based on ideas from data mining and multi-attribute utility theory. We will demonstrate how both approaches support users to more efficiently navigate complex product spaces highlighting, in particular, the influence of product complexity and interface strategy on recommendation performance and user satisfaction.
Year
DOI
Venue
2007
10.1145/1250910.1250929
EC
Keywords
Field
DocType
conversational recommender system,larger screen,laptop domain,product complexity,user satisfaction,simultaneous product attribute,dynamically generating compound critique,compound critique,complex product space,real-user study,compound critiquing recommenders,compound critiquing technique,real time systems,dynamic programming,user interfaces,computational complexity,recommender system,product space
Recommender system,Dynamic programming,World Wide Web,Laptop,Computer science,Interfacing,Human–computer interaction,User interface,Utility theory,Computational complexity theory
Conference
Citations 
PageRank 
References 
23
1.03
15
Authors
5
Name
Order
Citations
PageRank
James Reilly145743.42
Jiyong Zhang215621.11
Lorraine Mcginty368748.17
Pearl Pu42097143.34
Barry Smyth55711414.55